It's safe to say that most people aspire to eating delicious, nutritious, and elegantly prepared meals; but since many of us lack the requisite skills in the kitchen, "cooking dinner" often means throwing a a frozen entrée in the microwave. Whirlpool might soon have an answer for culinarily challenged folk like us, thanks to a new partnership with the food-prep technology company Innit. Whirlpool will start consumer trials with Innit's smart-appliance technology embedded in its high-end Jenn-Air connected ovens, with retail availability by the first half of 2017. In addition to Wi-Fi adapters, the ovens will have sensors that can automate the cooking process. A companion app with recipes will guide the home chef with step-by-step food-prep instructions.
Whirlpool's smart appliances have already had some voice assistant control, but they're about become particularly AI-savvy. The company has unveiled a 2018 lineup where many appliances support both Amazon Alexa and Google Assistant, letting you control most of your home using the smart speaker (or mobile app) you prefer. You can check the time left on the washing machine, start the dishwasher or change the temperature of your fridge without lifting a finger.
If asked about the two buzzwords in business circles today, they are artificial intelligence and automation. When both are combined together, just imagine about the changes brought in your daily life. In this article, we focus on the changes because of artificial intelligence in home automation. As a human, you have always welcomed new technological innovations with open arms. And in recent times, you can control the smart electronic devices by apps via mobile phones and artificial intelligence application gadgets.
Blink and the lights go out. A sensor on a pair of glasses that can pick up the motion of your skin when you blink could be used to switch the lights on and off, or to help those with limited or no mobility write messages on a computer. "The good thing about the technology is the high sensitivity, which may become particularly useful in places where the motion is very limited," says Ambarish Ghosh at the Indian Institute of Science, who wasn't involved in the research. The sensor, called a triboelectric generator, is thin enough to fit on the arms of a pair of glasses. It is made from multiple polymer layers with a coating of metal that acts as an electrode.
Imagine a building that tells you – before it happens – that the heating is about to fail. Some companies are using machine learning to do just that. Software firm CGnal, based in Milan, Italy, recently analysed a year's worth of data from the heating and ventilation units in an Italian hospital. Sensors are now commonly built into heating, ventilation and air conditioning units, and the team had records such as temperature, humidity and electricity use, relating to appliances in operating theatres and first aid rooms as well as corridors. They trained a machine learning algorithm on data from the first half of 2015, looking for differences in the readings of similar appliances.